iPhone 12 Mini
Geekbench ML Score
1624
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 07:01 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.2 |
| Model | iPhone 12 Mini |
| Model ID | iPhone13,1 |
| Motherboard | D52gAP |
| CPU Information | |
|---|---|
| Name | Apple A14 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 3.60 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
761
142.4 IPS |
|
|
Image Classification (F16)
|
100% |
761
142.5 IPS |
|
|
Image Classification (I8)
|
99% |
762
142.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
557
9.29 IPS |
|
|
Image Segmentation (F16)
|
100% |
514
8.58 IPS |
|
|
Image Segmentation (I8)
|
100% |
512
8.55 IPS |
|
|
Pose Estimation (F32)
|
100% |
4495
5.44 IPS |
|
|
Pose Estimation (F16)
|
100% |
8174
9.90 IPS |
|
|
Pose Estimation (I8)
|
100% |
8007
9.70 IPS |
|
|
Object Detection (F32)
|
100% |
793
59.2 IPS |
|
|
Object Detection (F16)
|
100% |
868
64.8 IPS |
|
|
Object Detection (I8)
|
97% |
812
60.6 IPS |
|
|
Face Detection (F32)
|
100% |
1475
17.5 IPS |
|
|
Face Detection (F16)
|
100% |
1346
16.0 IPS |
|
|
Face Detection (I8)
|
99% |
1371
16.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
2820
21.9 IPS |
|
|
Depth Estimation (F16)
|
99% |
3210
24.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
3129
24.3 IPS |
|
|
Style Transfer (F32)
|
100% |
8473
11.1 IPS |
|
|
Style Transfer (F16)
|
100% |
10026
13.2 IPS |
|
|
Style Transfer (I8)
|
100% |
10274
13.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1960
70.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2156
77.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2163
77.3 IPS |
|
|
Text Classification (F32)
|
100% |
855
1.23 KIPS |
|
|
Text Classification (F16)
|
100% |
396
569.4 IPS |
|
|
Text Classification (I8)
|
96% |
519
746.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1109
20.4 IPS |
|
|
Machine Translation (F16)
|
99% |
1492
27.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1104
20.3 IPS |
